Cisco has released an open-source tool "to trace the origins of AI models," reports SC World, "and compare model similarities for great visibility into the AI supply chain." [Cisco's Model Provenance Kit] is a Python toolkit and command-line interface (CLI) that looks at signals such as metadata and weights to create a "fingerprint" for AI models that can then be compared to other model fingerprints to determine potential shared origins. "Think of Model Provenance Kit as a DNA test for AI models," Cisco researchers wrote. "[...] Much like a DNA test reveals biological origins, the Model Provenance Kit examines both metadata and the actual learned parameters of a model (like a unique genome that comprises a model), to assess whether models share a common origin and identify signs of modification." The tool aims to address gaps in visibility into the AI model supply chain. For example, many organizations utilize open-source models from repositories like HuggingFace, where models could potentially be uploaded with incomplete or deceptive documentation. The Model Provenance Kit provides a way for organizations to verify claims about a model's origins, such as claims that a model is trained from scratch, when in reality it may be copied from another model, Cisco said. This may put organizations at risk of using models with unknown biases, vulnerabilities or manipulations and make it more difficult to resolve any incidents that arise from these risks. Thanks to Slashdot reader spatwei for sharing the news.

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A chain of 30 U.S. newspapers including the Sacramento Bee, the Miami Herald and the Idaho Statesman "has started to use a new AI tool that can summarize traditional articles and spit out different versions for different audiences," reports the New York Times. And the chain's reporters "are not happy about it." Journalists in many of the company's newsrooms are now withholding their bylines from articles created by the new tool, meaning that those articles will run with a generic credit rather than a reporter's name, as is customary. They are also labeled AI-assisted. "We don't want to put our bylines on stories we did not actually write even if they're based on our work," said Ariane Lange, an investigative reporter at the Sacramento Bee and the vice chair of the Sacramento Bee News Guild. "That in itself feels like a lie." The reporters' byline strike is one of the sharpest conflicts yet between journalists and their companies over the use of AI. Related debates are playing out in newsrooms across the country, as publishers experiment with new AI tools to streamline work that used to take hours, and some even use it to write full articles... [E]xecutives have promoted the tool internally as a way to increase the number of articles published and ultimately gain new subscribers... [Eric Nelson, the vice president of local news] said using reporters' bylines on the AI-generated articles was a way to show "authority" on Google so the search engine would rank the articles higher in the results. He also said the company was experimenting with feeding in reporters' notes to create articles. "Journalists who embrace and experiment with this tool are going to win," Nelson said in the meeting. "Journalists who are defiant will fall behind".... McClatchy's public AI policy states that the company uses AI tools to summarize articles to "help readers quickly understand the main points of a single story or catch up on multiple stories about a larger topic," and that editors review the output before publication.

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